Implicit inverse force identification method for vibroacoustic finite element model

被引:4
|
作者
Oh, Seungin [1 ]
Ahn, Chang-uk [1 ]
Ahn, Kwanghyun [2 ]
Kim, Jin-Gyun [1 ]
机构
[1] Kyung Hee Univ, Dept Mech Engn Integrated Engn, 1732 Deogyeong Daero, Yongin 17104, Gyeonggi Do, South Korea
[2] Korea Atom Energy Res Inst, 111 Daedeok Daero 989beon Gil, Daejeon, South Korea
基金
新加坡国家研究基金会;
关键词
Inverse force identification; Inverse dynamics; Finite-element method; Reduced-order modeling; Virtual sensing; Vibroacoustics; STATE ESTIMATION; KALMAN FILTER; FLUID DEPTH; REGULARIZATION; VIBRATIONS; LOADS;
D O I
10.1016/j.jsv.2023.117713
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
The two-field vibroacoustic finite-element (FE) model requires a relatively large number of degrees of freedom compared to the monophysics model, and the conventional force identifi-cation method for structural vibration can be adjusted for multiphysics problems. In this study, an effective inverse force identification method for an FE vibroacoustic interaction model of an interior fluid-structure system was proposed. The method consists of: (1) implicit inverse force identification based on the Newmark-fl time integration algorithm for stability and efficiency, (2) second-order ordinary differential formulation by avoiding the state-space form causing large degrees of freedom, (3) projection-based multiphysics reduced-order modeling for further reduction of degrees of freedom, and (4) Tikhonov regularization to alleviate the measurement noise. The proposed method can accurately identify the unmeasured applied forces on the in situ application and concurrently reconstruct the response fields. The accuracy, stability, and computational efficiency of the proposed method were evaluated using numerical models and an experimental testbed. A comparative study with the augmented Kalman filter method was performed to evaluate its relative performance.
引用
收藏
页数:20
相关论文
共 50 条
  • [41] A finite element method for the inverse problem of boundary data recovery in an oxygen balance model
    Ben Belgacem, Faker
    Debit, Naima
    El Fekih, Henda
    Khiari, Souad
    JOURNAL OF INVERSE AND ILL-POSED PROBLEMS, 2016, 24 (05): : 499 - 513
  • [42] Development of an inverse analysis method coupled with a 3D finite element model
    Forestier, R
    Chastel, Y
    Massoni, E
    MATERIALS PROCESSING AND DESIGN: MODELING, SIMULATION AND APPLICATIONS, PTS 1 AND 2, 2004, 712 : 2149 - 2154
  • [43] A combination of extended finite element method and the Kriging model based crack identification method
    Xie, Guizhong
    Zhao, Chongmao
    Li, Hao
    Du, Wenliao
    Liu, Jun
    Wang, Yuehui
    Zhong, Yudong
    Wang, Liangwen
    Wang, Haoqi
    PHYSICA SCRIPTA, 2023, 98 (11)
  • [44] Spectral stochastic finite element method in vibroacoustic analysis of fiber-reinforced composites
    Sepahvand, K.
    Marburg, S.
    X INTERNATIONAL CONFERENCE ON STRUCTURAL DYNAMICS (EURODYN 2017), 2017, 199 : 1134 - 1139
  • [45] Identification of material parameters through inverse finite element modelling
    Evans, Sam
    Avril, Stephane
    COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING, 2012, 15 (01) : 1 - 2
  • [46] An inverse finite element analysis applied to rheological parameter identification
    Massoni, E
    Gavrus, A
    Chenot, JL
    COMPUTATIONAL PLASTICITY: FUNDAMENTALS AND APPLICATIONS, PTS 1 AND 2, 1997, : 855 - 862
  • [47] An implicit discontinuous Galerkin finite element method for watet waves
    van der Vegt, JJW
    Tomar, SK
    COMPUTATIONAL MECHANICS, PROCEEDINGS, 2004, : 690 - 695
  • [48] An inverse finite element analysis applied to viscoplastic parameter identification
    Gavrus, A
    Massoni, E
    Chenot, JL
    NUMERICAL METHODS IN ENGINEERING '96, 1996, : 999 - 1005
  • [49] The rheological parameter identification formulated as an inverse finite element problem
    Gavrus, A
    Massoni, E
    Chenot, JL
    INVERSE PROBLEMS IN ENGINEERING, 1999, 7 (01): : 1 - 41
  • [50] Semi-implicit formulation of the immersed finite element method
    Wang, Xingshi
    Wang, Chu
    Zhang, Lucy T.
    COMPUTATIONAL MECHANICS, 2012, 49 (04) : 421 - 430